Computer Science 514 - Algorithms for Data Science

Mathematical and algorithmic foundations of big data processing. Study of methods for sampling, sketching, and distributed processing of large scale databases, graphs, and data streams for purposes of scalable statistical description, querying, pattern mining, and learning.

Open to junior and senior COMPSCI students who have completed COMPSCI 240 (or STATISTCS 515) and COMPSCI 311 with a grade of B+ or better in both, OR COMPSCI 240, STATISTCS 515, COMPSCI 311, Math 233, and Math 235 with a grade of C or better in each. LECT 01 FOR UNDERGRADS; LECT 02 FOR GRADS (MEETS IN-PERSON); LECT 03 ONLINE FOR GRADUATE STUDENTS ONLY; LECT 04 ONLINE FOR UNDERGRADUATE STUDENTS ONLY; UWW LECT 01 ONLINE FOR ONLINE MS-COMPSCI AND MS-COMPSCI ONLY. SEATS HELD IN LECT 02 FOR INCOMING GRAD STUDENT REGISTRATION. STUDENTS NEEDING SPECIAL PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/overrides.